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Prediction of NO Oxidizable Cysteines Larry Grant Dr. Jamil Momand Cal State L.A.

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Presentation on theme: "Prediction of NO Oxidizable Cysteines Larry Grant Dr. Jamil Momand Cal State L.A."— Presentation transcript:

1 Prediction of NO Oxidizable Cysteines Larry Grant Dr. Jamil Momand Cal State L.A.

2 S-nitrosylation Redox-based protein regulation. Redox-based protein regulation. similar to phosphorylation. similar to phosphorylation. reversible reversible detectable detectable Plays a major role in many physiological processes. Plays a major role in many physiological processes. inflammation, cell channel signaling, protease activity inflammation, cell channel signaling, protease activity

3 COPP Project Cysteine Oxidation Prediction Program Cysteine Oxidation Prediction Program Will be web-based Will be web-based Capable of predicting cysteine reactivity based on primary sequence and/or structure data. Capable of predicting cysteine reactivity based on primary sequence and/or structure data. 4 kinds of reactivity 4 kinds of reactivity

4 COPP Algorithm

5 My Project Generate parameters based on sequence information to predict NO susceptibility. Generate parameters based on sequence information to predict NO susceptibility. Stamler et, al have proposed a short motiff based on 27 sequences. Stamler et, al have proposed a short motiff based on 27 sequences. (Lys,Arg,His,Asp,Glu) – Cys – (Asp/Glu) (Lys,Arg,His,Asp,Glu) – Cys – (Asp/Glu)

6 -20………-10…………..-1C+1….…+10……...…+20 Extracting parameters… Data Mining Data Mining Target of 100-150 oxidizable thiols Target of 100-150 oxidizable thiols 71 s-nitrosylated Cys from 63 different proteins. 71 s-nitrosylated Cys from 63 different proteins.

7 PSIPRED Analyzer Three major functions: Average confidence Secondary structure frequency Residue frequency

8 Green = PolarBlue = Basic Black = HydrophobicRed = Acidic H H H H C C C C C C 6 6 6 6 6 6 6 66 6

9 The future Support Vector Machines Support Vector Machines relative solvent accessibility relative solvent accessibility minimum of 1.3 Å 2 minimum of 1.3 Å 2 hydrophobicity, acidity, side-chain length hydrophobicity, acidity, side-chain length

10 References Stamler, et al. Neuron. 1997 May;18(5):691-6. Stamler, et al. “(S)NO signals: translocation, regulation, and a consensus motif.” Neuron. 1997 May;18(5):691-6. Sanchez, et al. “Prediction of reversibly oxidized protein cysteine thiols using protein structure properties.” Protein Sci. 2008 Mar;17(3):473-81. Sanchez, et al. “Prediction of reversibly oxidized protein cysteine thiols using protein structure properties.” Protein Sci. 2008 Mar;17(3):473-81. Hess, et al. “Protein S-nitrosylation - Purview and Parameters.” Nat Rev Mol Cell Biol. 2005 Feb;6(2):150-66. Hess, et al. “Protein S-nitrosylation - Purview and Parameters.” Nat Rev Mol Cell Biol. 2005 Feb;6(2):150-66.

11 Acknowledgements Thank you for all of your help: Thank you for all of your help: Dr. Momand Dr. Momand Dr. Sharp Dr. Sharp Dr. Warter-Perez Dr. Warter-Perez Dr. Johnston Dr. Johnston Ronnie Cheng Ronnie Cheng My fellow interns. My fellow interns. Funded by:


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